Data set for Gambung green tea aroma using on electronic nose

This experiment focused on analyzing green tea aroma using six gas sensors. Seventy-eight green tea samples were tested, each observed three times, using a tea chamber connected to a sensor chamber via a hose and an intake micro air pump. Air flowed from the tea chamber to the sensor chamber for 60 s, followed by 60 s of aroma data recording. This data was saved into CSV files and labeled according to the Indonesian National Standard (SNI) 3945:2016, which includes special and general requirements for green tea quality. An organoleptic test by a tea tester further labeled the data set into "good" or "quality defect" for classification and provided organoleptic scores based on dry appearance, brew color, taste, aroma, and dregs of brewing for continuous label.

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Publication Details

Journal
BMC Research Notes
Published
2024-09-03
DOI
https://doi.org/10.1186/s13104-024-06905-6
Citations
2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.37

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article

Data set for Gambung green tea aroma using on electronic nose

Rini Handayani, Dedy Rahman Wijaya, Shabri Shabri, Vitria Puspitasari Rahadi et al.
2 citations
BMC Research Notes
Advanced Chemical Sensor Technologies
0.37
article

Data set for Gambung green tea aroma using on electronic nose

Rini Handayani, Dedy Rahman Wijaya, Shabri Shabri, Vitria Puspitasari Rahadi, Muhammad Dzakyyuddin Badri
article en
2 citations

Abstract

This experiment focused on analyzing green tea aroma using six gas sensors. Seventy-eight green tea samples were tested, each observed three times, using a tea chamber connected to a sensor chamber via a hose and an intake micro air pump. Air flowed from the tea chamber to the sensor chamber for 60 s, followed by 60 s of aroma data recording. This data was saved into CSV files and labeled according to the Indonesian National Standard (SNI) 3945:2016, which includes special and general requirements for green tea quality. An organoleptic test by a tea tester further labeled the data set into "good" or "quality defect" for classification and provided organoleptic scores based on dry appearance, brew color, taste, aroma, and dregs of brewing for continuous label.

BMC Research NotesVol. 17(1)
Telkom University (ID)
Badan Riset dan Inovasi Nasional, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 44%
Advanced Chemical Sensor Technologies
0.37
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Data set for Gambung green tea aroma using on electronic nose — Rini Handayani, Dedy Rahman Wijaya, et al. · BMC Research Notes (2024) | TGRS Research Map | TGRS